Data Visualization
What is Data Visualization?? Data visualization is the representation of data or information in a graph, chart, or other visual format. It communicates relationships of the data with images. This is important because it allows trends and patterns to be more easily seen. With the rise of big data upon us, we need to be able to interpret increasingly larger batches of data. Machine learning makes it easier to conduct analyses such as predictive analysis, which can then serve as helpful visualizations to present. But data visualization is not only important for data scientists and data analysts, it is necessary to understand data visualization in any career. Whether you work in finance, marketing, tech, design, or anything else, you need to visualize data. That fact showcases the importance of data visualization.
Importance of Data Visualization We need data visualization because a visual summary of information makes it easier to identify patterns and trends than looking through thousands of rows on a spreadsheet. It’s the way the human brain works. Since the purpose of data analysis is to gain insights, data is much more valuable when it is visualized. Even if a data analyst can pull insights from data without visualization, it will be more difficult to communicate the meaning without visualization. Charts and graphs make communicating data findings easier even if you can identify the patterns without them. Without a visual representation of the insights, it can be hard for the audience to grasp the true meaning of the findings.
Applications of Data Visualization There are three broad categories of Careers in Data Visualization: Data Visualization Engineer: The data visualization engineer focuses on design and development of reporting solutions to provide fact-based analysis to the decision makers to identify patterns and trends which may not be revealed by text data. Bachelor’s or Master’s degree is required for Data Visualization Engineer position. Business Intelligence Analysts: Business Intelligence Analysts focuses on data analysis and business reporting. Analyze business requirement and develop functional specifications. Business Intelligence Analyst is responsible for building reports, dashboards, models and tools to analyze data, report, and present operations related data, which is used to monitor product usage, take important business decisions and forecast business productivity. Sometimes they also need to engage
with the internal and external client to determine requirements, decide priorities of requirement & make sure that there is no communication gap. Data Analysts: Data analysts work on reporting and visualization part to explain the hidden figures of data with the help of graphs, charts etc. Their role is to analyze data collected from sales, marketing etc. and help the firm for better decision making by presenting their finding in the form of reports. A bachelor’s degree is required for Data Analyst position at entry level. There are different categories of data analyst position: operational analyst, marketing analyst, financial analyst etc.
Data Visualization Tools • Tableau Tableau is a data visualization tool that can be used by data analysts, scientists, statisticians, etc. to visualize the data and get a clear opinion based on the data analysis. Tableau is very famous as it can take in data and produce the required data visualization output in a very short time. And it can do this while providing the highest level of security with a guarantee to handle security issues as soon as they arise or are found by users. • Looker Looker is a Looker data visualization tool that can go in-depth in the data and analyze it to obtain useful insights. It provides real-time dashboards of the data for more in-depth analysis so that businesses can make instant decisions based on the data visualizations obtained. Looker also provides connections with Redshift, Snowflake, BigQuery, as well as more than 50 SQL supported dialects so you can connect to multiple databases without any issues.
• Zoho Analytics Zoho Analytics is a Business Intelligence and Data Analytics software that can help you create wonderful looking data visualizations based on your data in a few minutes. You can obtain data from multiple sources and mesh it together to create multidimensional data visualizations that allow you to view your business data across departments. In case you have any questions, you can use Zia which is a smart assistant created using artificial intelligence, machine learning, and natural language processing. • Sisense Sisense is a business intelligence-based data visualization system and it provides various tools that allow data analysts to simplify complex data and obtain insights for their organization and outsiders. Sisense believes that eventually, every company will be a data-driven company
and every product will be related to data in some way. Therefore it tries its best to provide various data analytics tools to business teams and data analytics so that they can help make their companies the datadriven companies of the future. • IBM Cognos Analytics IBM Cognos Analytics is an Artificial Intelligence-based business intelligence platform that supports data analytics among other things. You can visualize as well as analyze your data and share actionable insights with anyone in your organization. Even if you have limited or no knowledge about data analytics, you can use IBM Cognos Analytics easily as it interprets the data for you and presents you with actionable insights in plain language.
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